HFM
Posted 1mo ago

BI Data Analyst

HFM
Larnaca, Larnaca, Cyprus
HybridFull Time
Responsibilities
  • cleaning data
  • analysing trends
  • building dashboards
Requirements
  • University degree in CS/Data Science/Finance/Math
  • Proficiency in SQL
  • Python
  • Power BI, DAX, SSAS
  • Experience with data warehousing and ETL
  • Financial services experience preferred
  • Strong analytical and communication skills
Technical tools mentioned
SQLPythonPower BIDAXSSASMetaTrader (MT4/MT5)Microsoft Fabric

Job description

HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets. As we continue to expand, we are seeking a driven and strategic Business Intelligence Data Analyst to join our team.

The BI Data Analyst plays a key role in connecting business
needs with data-driven insights. This position involves developing a strong
understanding of how data flows across systems, from its source to its
transformation into meaningful information.

A main responsibility is to ensure data accuracy, interpret trends, and provide
actionable insights that support decision-making across the organization. The
analyst is expected to go beyond standard reporting by identifying
opportunities to improve efficiency, optimize performance, and support business
growth.


Your role at HFM:

  • Clean, process, and analyse large datasets using SQL and
    Python to support reporting, analytics, and machine learning initiatives.

  • Perform exploratory data analysis to identify trends,
    patterns, and key metrics.

  • Translate analytical findings into actionable insights for
    business stakeholders, collaborating with data scientists, analysts, and other
    teams to support strategic decisions.

  • Design, develop, and maintain BI dashboards, reports, and
    DAX calculations in Power BI and SSAS.

  • Document data flows and processes to ensure accurate and
    timely integration.

  • Create and maintain technical documentation for BI models,
    queries, and data processes, ensuring clarity and usability.

  • Support business users by providing guidance and training on
    BI tools, dashboards, and best practices for data-driven decision-making.

  • Provide data-driven recommendations to improve efficiency,
    optimize performance, and support business decisions.

  • Follow data governance policies, ensuring compliance with
    access, security, and privacy protocols.


Requirements

  • University degree in Computer
    Science, Data Science, Finance, Mathematics, or a related field.

  • Experience in financial services
    or brokerage environments.

  • Proficiency in SQL and
    understanding of data modelling concepts.

  • Experience with data warehousing
    and ETL processes.

  • Proficiency in Power BI for
    creating dashboards, reports, and visualisations.

  • Working knowledge of DAX for
    business calculations, measures, and KPIs.

  • Experience with SQL Server
    Analysis Services (SSAS) for OLAP modelling.

  • Strong problem-solving and
    analytical skills.

  • Effective communication and
    collaboration abilities.

  • Excellent command of English
    language.

Considered a Plus

  • Knowledge of trading platforms
    and understanding of trade lifecycle and order execution processes.

  • Familiarity with MetaTrader
    (MT4/MT5) platforms and related data structures.

  • Understanding of CFD trading
    mechanics, including margin, leverage, and risk management.

  • Experience working with real-time
    trading data and event-driven analytics.

  • Ability to interpret trading
    performance metrics and generate actionable insights.

  • Awareness of regulatory
    requirements and compliance considerations.

  • Familiarity with Python for data
    analysis and machine learning.

  • Exposure to data science projects
    related to trading behaviour analysis.

  • Knowledge of cloud-based data
    solutions such as Microsoft Fabric.


Benefits

  • Hybrid Work Model (2 days working from home)
  • Monthly Wolt Vouchers
  • Comprehensive Health & Life Insurance
  • Provident Fund (Upon completion of the trial period)
  • Summer Short Fridays (August)
  • Additional Paid Annual Leave (up to 30 days, based on years of service)
  • Birthday Leave
  • Training & Education Allowance
  • Udemy Business access
  • Gym Membership
  • Referral Bonus Program
Additional Support
  • Visa Sponsorship and Relocation Assistance

Ready to Kick Off an Exceptional Career?

Join HFM and shape your future with a company that values growth, innovation and people.

Sounds like you? Let’s write the next chapter together.

All Applications will be handled with the strictest confidentiality.


About HFM

Global multi-asset broker providing online financial trading services.